{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T16:45:45Z","timestamp":1792946745422,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2013,10,21]],"date-time":"2013-10-21T00:00:00Z","timestamp":1382313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2013,10,21]]},"DOI":"10.1145\/2502081.2502111","type":"proceedings-article","created":{"date-parts":[[2013,10,22]],"date-time":"2013-10-22T13:42:56Z","timestamp":1382449376000},"page":"957-966","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Learning with limited and noisy tagging"],"prefix":"10.1145","author":[{"given":"Yingming","family":"Li","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongang","family":"Qi","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongfei (Mark)","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2013,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"368","volume-title":"NIPS","author":"Bennett K. P.","year":"1998","unstructured":"K. P. Bennett and A. Demiriz . Semi-supervised support vector machines . In NIPS , pages 368 -- 374 , 1998 . K. P. Bennett and A. Demiriz. Semi-supervised support vector machines. In NIPS, pages 368--374, 1998."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2042995"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.009"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24775-3_5"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/502585.502652"},{"key":"e_1_3_2_1_7_1","volume-title":"NIPS","author":"Grandvalet Y.","year":"2004","unstructured":"Y. Grandvalet and Y. Bengio . Semi-supervised learning by entropy minimization . In NIPS , 2004 . Y. Grandvalet and Y. Bengio. Semi-supervised learning by entropy minimization. In NIPS, 2004."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.12"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2004.06.009"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874031"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.894403"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.04.042"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511755453"},{"key":"e_1_3_2_1_14_1","volume-title":"Regularization, Optimization, and Beyond","author":"Sch\u00f6lkopf B.","year":"2001","unstructured":"B. Sch\u00f6lkopf and A. J. Smola . Learning with Kernels: Support Vector Machines , Regularization, Optimization, and Beyond . The MIT Press , 2001 . B. Sch\u00f6lkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. The MIT Press, 2001."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/646257.685385"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.01.013"},{"key":"e_1_3_2_1_17_1","first-page":"1025","volume-title":"NIPS","author":"Szummer M.","year":"2002","unstructured":"M. Szummer and T. Jaakkola . Information regularization with partially labeled data . In NIPS , pages 1025 -- 1032 , 2002 . M. Szummer and T. Jaakkola. Information regularization with partially labeled data. In NIPS, pages 1025--1032, 2002."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1899412.1899418"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/1609942.1609944"},{"key":"e_1_3_2_1_20_1","volume-title":"Statistical learning theory","author":"Vapnik V. N.","year":"1998","unstructured":"V. N. Vapnik . Statistical learning theory . John Wiley and Sons , New York , 1998 . V. N. Vapnik. Statistical learning theory. John Wiley and Sons, New York, 1998."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383221"},{"key":"e_1_3_2_1_22_1","volume-title":"NIPS","author":"Xu Z.","year":"2007","unstructured":"Z. Xu , R. Jin , J. Zhu , I. King , and M. R. Lyu . Efficient convex relaxation for transductive support vector machine . In NIPS , 2007 . Z. Xu, R. Jin, J. Zhu, I. King, and M. R. Lyu. Efficient convex relaxation for transductive support vector machine. In NIPS, 2007."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.250"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.899736"},{"key":"e_1_3_2_1_25_1","first-page":"1609","volume-title":"Proceedings of NIPS","author":"Zhou Z.-H.","year":"2007","unstructured":"Z.-H. Zhou and M.-L. Zhang . Multi-instance multilabel learning with application to scene classification . In Proceedings of NIPS , pages 1609 -- 1616 , 2007 . Z.-H. Zhou and M.-L. Zhang. Multi-instance multilabel learning with application to scene classification. In Proceedings of NIPS, pages 1609--1616, 2007."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874028"},{"key":"e_1_3_2_1_27_1","volume-title":"NIPS","author":"Zhu J.","year":"2003","unstructured":"J. Zhu , S. Rosset , T. Hastie , and R. Tibshirani . 1-norm support vector machines . In NIPS , 2003 . J. Zhu, S. Rosset, T. Hastie, and R. Tibshirani. 1-norm support vector machines. In NIPS, 2003."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-004-0751-8"},{"key":"e_1_3_2_1_29_1","first-page":"920","volume-title":"Proceeding of International Conference on Machine Learning","author":"Zhu X.","year":"2003","unstructured":"X. Zhu , X. Wu , and Q. Chen . Eliminating class noise in large datasets . In Proceeding of International Conference on Machine Learning , pages 920 -- 927 , 2003 . X. Zhu, X. Wu, and Q. Chen. Eliminating class noise in large datasets. In Proceeding of International Conference on Machine Learning, pages 920--927, 2003."}],"event":{"name":"MM '13: ACM Multimedia Conference","location":"Barcelona Spain","acronym":"MM '13","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 21st ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2502081.2502111","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2502081.2502111","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:28:28Z","timestamp":1750231708000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2502081.2502111"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,10,21]]},"references-count":29,"alternative-id":["10.1145\/2502081.2502111","10.1145\/2502081"],"URL":"https:\/\/doi.org\/10.1145\/2502081.2502111","relation":{},"subject":[],"published":{"date-parts":[[2013,10,21]]},"assertion":[{"value":"2013-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}